Shrikar Purohit

• Developed and parameterized heat exchanger models for electric vehicle cabin HVAC systems, enabling accurate representation of thermal behavior across varying operating conditions. • Simulated diverse vehicle operating scenarios to test and validate model performance, robustness, and numerical stability. • Automated Modelica simulations using Python scripts, enabling batch execution of 25+ parameterized iterations per run and supporting efficient design space exploration.

Master's Thesis: Automated data-based Modelling of vital energy components in Building energy Infrastructure • Developed data-driven electricity consumption prediction models in MATLAB using statistical and machine learning techniques to support energy forecasting and system analysis • Applied MATLAB Machine Learning Toolbox to implement and compare multiple regression, regression tree, and Support Vector Machine (SVM) models, achieving prediction accuracy of around 95%

Energy data engineering, Energy usage in industrial processes, Power electronics, Power plants and Power systems

Mechanical system design, CAD/CAM and Automation, Fluid mechanics, Turbomachines and Heat Transfer